CVE-2019-15570 in BEdita
Summary
by MITRE
BEdita through 4.0.0-RC2 allows SQL injection during a save operation for a relation with parameters.
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Analysis
by VulDB Data Team • 12/04/2023
CVE-2019-15570 represents a critical sql injection vulnerability discovered in BEdita versions prior to 4.0.0-RC2. This flaw specifically manifests during save operations involving relation parameters, creating a pathway for malicious actors to execute arbitrary sql commands against the underlying database. The vulnerability stems from insufficient input validation and improper parameter handling within the application's relational data processing mechanisms. Attackers can exploit this weakness by crafting malicious input that gets directly incorporated into sql queries without adequate sanitization or escaping. The impact extends beyond simple data theft as successful exploitation can lead to complete database compromise, unauthorized data modification, and potential lateral movement within affected systems. This vulnerability aligns with CWE-89 which classifies sql injection as a common weakness in web applications where user-supplied data is improperly incorporated into sql commands. The operational impact is severe given that BEdita is a content management system used for managing digital assets and content, making it a prime target for attackers seeking persistent access to organizational data repositories. From an att&ck perspective, this vulnerability maps to technique T1071.004 for application layer protocol usage and T1190 for exploit public-facing application, as it allows attackers to leverage the content management system as an attack vector. The flaw particularly affects environments where BEdita is used for managing relational data with user-provided inputs, as the save functionality for relations becomes a direct attack surface. Organizations running vulnerable versions should prioritize immediate patching to prevent exploitation, as the vulnerability does not require authentication for exploitation and can be triggered through normal application usage patterns. The technical implementation likely involves direct string concatenation of user inputs into sql statements rather than using prepared statements or parameterized queries, which would have prevented the injection. Mitigation strategies include implementing proper input validation, utilizing parameterized queries, and conducting thorough code reviews focusing on data handling within relational operations. Security teams should also monitor for potential exploitation attempts and implement web application firewalls to detect and block malicious sql injection patterns targeting this specific vulnerability.